Set pair analysis for karst waterlogging risk assessment based on AHP and entropy weight

Abstract Karst waterlogging is a natural disaster that occurs frequently and it adversely affects the social and economic development of affected areas. An analysis of the causes of karst waterlogging with respect to climate and topography can serve as a foundation for disaster assessment and prevention. In this study, a karst waterlogging risk assessment indexing system was established. The system was based on a comprehensive analysis of risk factors, including the severity of the disaster and the vulnerability of the affected area. DeBao County in GuangXi was used as the study area. Nine risk indicators were chosen as evaluation indexes and combination weights were divided into subjective and objective weights based on the analytic hierarchy process (AHP) and entropy weight. A geographical information system (GIS) was applied to help with the calculations of the set pair analysis (SPA) and to pile up the layers of the evaluation indicators. Then, a risk rating map was drawn using GIS techniques. The results showed that the high risk locations were mainly distributed in the center of DeBao County; therefore, the map could be used as reference for the prevention and management of karst waterlogging risk.

Download Full-text

A Novel Evaluation System of Psoriasis Curative Effect Based on Bayesian Maximum Entropy Weight Self-Learning and Extended Set Pair Analysis

Evidence-based Complementary and Alternative Medicine ◽

10.1155/2021/5544516 ◽

2021 ◽

Vol 2021 ◽

pp. 1-13

Author(s):

Le Kuai ◽

Xiao-ya Fei ◽

Jing-si Jiang ◽

Xin Li ◽

Ying Zhang ◽

...

Keyword(s):

Maximum Entropy ◽

Evaluation System ◽

Set Pair Analysis ◽

Efficacy Evaluation ◽

Entropy Weight ◽

Curative Effect ◽

Analytic Hierarchy ◽

Accompanying Symptoms ◽

Self Learning ◽

Pair Analysis

Background. Psoriasis is a complex skin disease and difficult to evaluate, and this study aimed to provide an objective and systematic approach for evaluating the efficacy of psoriasis. Methods. We sought to construct a Bayesian network from sixteen indicators in four aspects of psoriasis (skin lesion conditions, laboratory indexes, quality of life, and accompanying symptoms) and obtained weights of each index by combining the analytic hierarchy process with maximum entropy self-learning. Furthermore, we adopted stability analysis to calculate the minimum sample size of the system. The extended set pair analysis was utilized to evaluate the efficacy based on improved weights, which overcomes the limitation of set pair analysis (unable to evaluate the efficacy with uncertain grades and thresholds). Results. A total of 100 psoriasis vulgaris patients were included to evaluate the curative effect by the system. We obtained the weights of each index and the Euclidean distance for efficacy evaluation of 100 patients. The sensitivity analysis proved that the results had no significant change with the variation of single patient’s indexes, which indicated that our results were stable to assess the effectiveness. Conclusions. We provided an available method of comprehensive effective evaluation of various indicators of psoriasis and based on both subjective and objective weights.

Download Full-text

Environmental Risk Assessment of Subway Station Construction to Achieve Sustainability Using the Intuitionistic Fuzzy Analytic Hierarchy Process and Set Pair Analysis

Discrete Dynamics in Nature and Society ◽

10.1155/2021/5541493 ◽

2021 ◽

Vol 2021 ◽

pp. 1-17

Author(s):

Junwu Wang ◽

Sen Liu ◽

Yinghui Song ◽

Jing Wang ◽

Han Wu

Keyword(s):

Risk Assessment ◽

Analytic Hierarchy Process ◽

Environmental Risk ◽

Environmental Risk Assessment ◽

Set Pair Analysis ◽

Analytic Hierarchy ◽

Proposed Model ◽

Hierarchy Process ◽

Pair Analysis

Environmental risks have a significant impact on the sustainability of subway station construction projects. This paper proposes an environmental risk assessment model based on the intuitionistic fuzzy analytic hierarchy process (IFAHP) and set pair analysis (SPA) to deal with the ambiguity and uncertainty in the assessment. An index system for environmental risk assessment is established based on a literature review and the rough set method. Subsequently, the IFAHP is used to calculate the indicator weights to describe the certainty, uncertainty, and hesitation degree of expert decisions in the weighting calculation by means of affiliation, nonaffiliation, and hesitation. Finally, SPA, which can deal with the randomness, uncertainty, and ambiguity of the indicators, is used to assess environmental risk. A case study of two typical stations (Lushan Avenue Station and Huilong Road West Station) of Metro Line 11 in Chengdu, China, is conducted. The case study results are consistent with field surveys. The evaluation results of the proposed model are more objective and reasonable than those of the traditional analytic hierarchy process, the entropy weight method, fuzzy comprehensive evaluation, grey correlation analysis, and technique for order of preference by similarity to an ideal solution (TOPSIS). The research results prove the scientific validity and superiority of the proposed model.

Download Full-text

Study on risk assessment of EPC water conservancy project based on entropy weight set pair analysis

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/804/2/022045 ◽

2021 ◽

Vol 804 (2) ◽

pp. 022045

Author(s):

Jinbo Meng ◽

Jixiang Zhang

Keyword(s):

Risk Assessment ◽

Set Pair Analysis ◽

Entropy Weight ◽

Water Conservancy Project ◽

Water Conservancy ◽

Pair Analysis

Download Full-text

Quantitative Risk Assessment for Deep Tunnel Failure Based on Normal Cloud Model: A Case Study at the ASHELE Copper Mine, China

Applied Sciences ◽

10.3390/app11115208 ◽

2021 ◽

Vol 11 (11) ◽

pp. 5208

Author(s):

Jianpo Liu ◽

Hongxu Shi ◽

Ren Wang ◽

Yingtao Si ◽

Dengcheng Wei ◽

...

Keyword(s):

Risk Assessment ◽

Large Scale ◽

Cloud Model ◽

Quantitative Risk Assessment ◽

Geological Condition ◽

Deep Tunnel ◽

Entropy Weight ◽

Copper Mine ◽

Evaluation Indexes ◽

Metal Mines

The spatial and temporal distribution of tunnel failure is very complex due to geologic heterogeneity and variability in both mining processes and tunnel arrangement in deep metal mines. In this paper, the quantitative risk assessment for deep tunnel failure was performed using a normal cloud model at the Ashele copper mine, China. This was completed by considering the evaluation indexes of geological condition, mining process, and microseismic data. A weighted distribution of evaluation indexes was determined by implementation of an entropy weight method to reveal the primary parameters controlling tunnel failure. Additionally, the damage levels of the tunnel were quantitatively assigned by computing the degree of membership that different damage levels had, based on the expectation normalization method. The methods of maximum membership principle, comprehensive evaluation value, and fuzzy entropy were considered to determine the tunnel damage levels and risk of occurrence. The application of this method at the Ashele copper mine demonstrates that it meets the requirement of risk assessment for deep tunnel failure and can provide a basis for large-scale regional tunnel failure control in deep metal mines.

Download Full-text

Safety Assessment of Railway Dangerous Goods Transportation Based on Set Pair Analysis

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.869-870.288 ◽

2013 ◽

Vol 869-870 ◽

pp. 288-292

Author(s):

Dong Jie Liu ◽

Zhen Lin Wei

Keyword(s):

Safety Assessment ◽

Assessment Model ◽

Engineering System ◽

Set Pair Analysis ◽

System Research ◽

Analytic Hierarchy ◽

Dangerous Goods ◽

Index Weight ◽

Hierarchy Process ◽

Pair Analysis

In order to overcome the drawbacks that occur when traditional safety assessment methods do not consider the certain and uncertain characteristics of information and in order to enhance the calculation efficiency, a new Identical Discrepancy Contrary (IDC) system is safety comprehensive assessment model based on Set Pair Analysis is established. Incorporating the Analytic Hierarchy Process (AHP) to obtain the index weight, this model analyses the uncertainties in the degree of connection acquired by assessment, and then makes the identical discrepancy contrary system research on the certainty and uncertainty of information in the engineering system.

Download Full-text

Optimization of Performance Evaluation of Urban Road Pavement

E3S Web of Conferences ◽

10.1051/e3sconf/202128302033 ◽

2021 ◽

Vol 283 ◽

pp. 02033

Author(s):

Ziyi Zhang ◽

Yu Sun ◽

Han Xu ◽

Qiyun Zhu

Keyword(s):

Performance Evaluation ◽

Evaluation Model ◽

Vital Role ◽

Set Pair Analysis ◽

Road Maintenance ◽

Entropy Weight ◽

Urban Road ◽

The Road ◽

Road Pavement ◽

Pair Analysis

In recent years, urbanization has developed rapidly, and urban road play a vital role as the premise. Due to the good effectiveness of asphalt pavement, which is more popular in urban road, and road maintenance demands are also increasing. In order to make the maintenance work appropriate, accurate pavement performance evaluation is the premise. This paper collects the data of a road pavement condition in Shanghai and calculates the sub-indexes of each section. We use the entropy weight method to obtain the influence degree of each sub-index. Then we use the revised set pair analysis to construct the comprehensive performance evaluation model of urban road pavement. The analysis shows that compared with the standard method and the set pair analysis, the revised model is more objective, in line with the actual use of the road.

Download Full-text